JP2014507597A5 - - Google Patents

Description

Internal combustion engine adjusting device and adjusting method

  The invention relates to a regulating device for an internal combustion engine according to the premise of claim 1 and to an accompanying method according to the premise of claim 3.

  German Patent No. 10221376A1 describes a method for controlling an internal combustion engine, in which the amount of air and / or the amount of fuel is corrected in accordance with the signal of a lambda sensor in the exhaust gas of the internal combustion engine.

  Furthermore, it is known from German Patent No. 10248038B4 that the correction of the air-fuel ratio of the internal combustion engine is performed according to the signal of the lambda sensor, and the fuel injection time is corrected by the correction coefficient and the learning correction coefficient. In this case, the learning correction coefficient is calculated by a sequential method that is costly and laborious according to other correlation parameters. Furthermore, each of the other correlation parameters has their numerical range limited by an upper limit and a lower limit in order to achieve stable operation. Eventually, fault setting conditions are derived to detect faults in the exhaust gas recirculation system or the fuel evaporative gas treatment system, depending on other correlation parameters. The method disclosed in DE 10248038B4 is suitable for improving the accuracy of the air / fuel ratio control / regulation system. The disadvantages of this method are that it is very costly and labor intensive and that it takes time to detect faults in the mixture formation system of the internal combustion engine.

German Patent No. 10221376A1 German Patent No. 10248038B4

  Accordingly, the object of the present invention is to provide an adjustment device and adjustment method for an internal combustion engine that is simpler than the prior art and therefore can be easily parameterized at low cost. Another problem of the present invention is that it can meet legal requirements for an onboard diagnostic system that has become more stringent because faults in the mixture formation system of an internal combustion engine are detected and displayed more quickly. .

  This problem is solved by an apparatus comprising the features of claim 1 and a method comprising the features of claim 3. Advantageous developments are the subject of the dependent claims.

  The method is a method for adaptive lambda control of an automobile internal combustion engine. In this case, the internal combustion engine has a combustion chamber, a distribution device that distributes the components of the combustion mixture in the combustion chamber, and a lambda sensor that measures the lambda variable of the exhaust gas of the internal combustion engine.

  The distribution device means at least one component capable of changing the lambda value of the internal combustion engine, in particular, a throttle valve that distributes the amount of air in the combustion chamber, an injection valve that distributes the amount of fuel in the combustion chamber over the injection time, A charge pressure control device that changes the amount of air by the charge pressure, a rail pressure control device that changes the amount of fuel by the rail pressure, an exhaust gas recirculation valve or a tumble valve that distributes the amount of exhaust gas in the combustion chamber.

  The lambda variable is a control variable of the control circuit that is the basis of the method. The lambda variable means the lambda value of the exhaust gas of the internal combustion engine measured by the lambda sensor or a value directly related to the lambda value. The lambda value means the ratio between the amount of oxygen and the amount of fuel in the combustion mixture of the internal combustion engine.

  The distribution device is an adjustment element of the control circuit that changes the composition of the combustion mixture, and the distribution variable of the distribution device is an operating variable of the control circuit. The allocation variable is the injection valve injection time and / or rail pressure and / or throttle valve position and / or exhaust gas recirculation valve position and / or charge pressure and / or tumble valve position.

The specified value of the control circuit is a lambda target variable. The lambda target variable is set based on the method according to the load of the internal combustion engine and / or according to the speed of the internal combustion engine and other operating parameters. Advantageously, a lambda target variable is calculated based on a calculation model for each operating point of the internal combustion engine.

Lambda control is carried out in a well-known manner by means of an appropriate procedure using an adjustment device, where the lambda specified variable is compared with the lambda variable and the deviation between the measured lambda variable and the specified lambda target variable is corrected. Measures are taken with commands. By this correction command, the distribution variable is changed so that the lambda variable becomes substantially the same as the lambda target variable. The adjusting device is part of the control unit, which has in particular a storage device in which the target variables are stored, a processor unit, a signal connection to the sensor and a control connection to the actuator. Lambda control is limited by the maximum control range . This control range means the sum of the change of the distribution variable and / or the change of the correction coefficient of the distribution variable performed by the correction command. This control range is limited to a maximum value in order to ensure a stable adjustment operation.

The adaptation device is likewise part of the control unit, and lambda adaptation is performed by this adaptation device. In lambda adaptation, a continuous deviation between the measured lambda variable and the lambda target variable is specified by a well-known method, and the parameter of the lambda control is changed according to the continuous deviation. The adaptation speed of lambda adaptation is usually slower than the control speed of lambda control. Since the adaptation speed is limited to the maximum adaptation speed, when the continuous deviation between the lambda variable and the lambda reference variable is large, the adaptive change of the parameter of the lambda control can be performed only at a limited speed.

  Lambda control and lambda adaptation are performed in a well-known manner, each only under the appropriate operating conditions of the internal combustion engine. Appropriate operating conditions depend, for example, on parameters such as the speed and / or load of the internal combustion engine.

In accordance with the present invention, the maximum control range and / or maximum adaptive speed is not fixed, but can vary depending on the lambda deviation from the lambda target variable . Lambda deviation means the difference between a lambda variable and a lambda target variable. Preferably, the greater the maximum control range and / or maximum adaptation speed, the greater the lambda deviation. In general, the conventional techniques up to now apply a fixed maximum adaptive speed and a fixed maximum control range to ensure the adjustment operation and the stabilization of the adaptive operation, and to adjust the adjustment and adaptation parameterization costs and Has been kept to a minimum. However, this prior art has a problem that it takes a very long time to correct, particularly when the lambda deviation is extremely large. Usually, lambda control and lambda adaptation are associated with a diagnostic function for detecting system faults, and as a result, slower lambda control / adaptation results in slower fault detection. By using the method proposed here, it is possible to speed up the correction of the lambda value and the detection of a system failure even when the lambda deviation is significantly large.

In a first development of the invention, the maximum control range and / or maximum adaptation speed has become dependent on the cumulative lambda deviation, the greater the maximum control range and / maximum adaptation speed, cumulative lambda deviations growing. Cumulative lambda deviation means the total lambda deviation of the internal combustion engine over the operating time achieved after the internal combustion engine is mounted on the vehicle. As a result, the maximum adaptive speed and / or the maximum control range not only increase when the lambda deviation is significantly large, but also increase when a large cumulative lambda deviation has already occurred due to the history of the internal combustion engine.

Normally, if there is a certain amount of cumulative lambda correction, a system failure is inferred. That is, if there are cumulative lambda corrections that are already approaching a certain amount of cumulative lambda correction, the maximum control range and / or the maximum adaptive speed is advantageously increased, so that the correction speed increases and thus the diagnostic speed. Will also increase. Advantageously, if the sum of the application range of the executed control range and lambda adaptation of the lambda control exceeds the range specified value, based on the present invention is carried out also display the failure of the internal combustion engine. The adaptive range means the total adaptive change of the control parameters executed by the correction command. This adaptive range may be limited to the maximum value as in the control range . The fault indication can also be made according to the accumulated lambda deviation, but it is more advantageous that this indication is made according to the sum of the control range and the adaptation range . This is because in the latter case, the existence of a certain failure can be inferred.

  Another advantageous development is that the distribution device has an exhaust gas recirculation valve for distributing the exhaust gas quantity in the combustion chamber, the distribution of the exhaust gas being at least part of the operating variable. Yes. By allocating the exhaust gas amount, the lambda value can be corrected very easily and reliably.

  Another advantageous development is that the distribution device has a fuel distribution for distributing the fuel in the combustion chamber, the distribution of the fuel being at least part of the operating variables. The lambda value can be corrected very efficiently by the fuel distribution.

  Another advantageous development is that the distribution device has a throttle valve for distributing the amount of air in the combustion chamber, the distribution of the amount of air being at least part of the manipulated variable. By distributing the air amount, the lambda value can be corrected very easily and reliably.

Another advantageous development of the method is that in the first correction mode there is a first maximum control range and a first maximum adaptation speed, and in the second correction mode, a second maximum control range and being adapted to the second maximum adaptation speed is present, in accordance with the deviation between lambda values and lambda target variables, and / or in accordance with the sum of the control range and application range of the lambda adaptation of the lambda control, the A switch is made between 1 and the second correction mode. By dividing into only two different correction modes, each assigned control and adaptation parameters, the cost and effort of parameterization or the cost and effort of application can be limited to a minimum. In many cases, it is sufficient to use two correction modes on the one hand to ensure stable control and adaptive operation and on the other hand to ensure rapid fault detection. The use of other modification modes, each with other maximum control ranges and other maximum adaptation speeds, further optimizes the stability of control and adaptation operations and at the same time optimizes fault detection, but also reduces the application costs and effort. To rise.

Another advantageous development of the method is that the first maximum control range and the first maximum adaptation speed are respectively smaller than the second maximum control range and the second maximum adaptation speed, and The second correction mode is present when the accumulated lambda deviation is larger than the prescribed deviation value of the accumulated deviation of the lambda value.

Another advantageous development of the method is that the switching between the first and second correction modes depends on the passage of the debounce time. From this, the stability of control and adaptive operation can be further enhanced. This is because the second correction mode, in which dynamic control and adaptive behavior exists, only works when it is certain that greater dynamics are actually needed. Advantageously, over the debounce time, if the accumulated lambda deviation is greater than the deviation limit value of the accumulated deviation of the lambda value, the debounce time is used so that the second correction mode is applied.
The present invention will be described in detail with reference to the following description of embodiments and the drawings belonging thereto. Other advantages and features are shown in the figures.

1 is a schematic view of an internal combustion engine for use in a method according to the present invention. It is a flow diagram for demonstrating the restriction | limiting function of adaptive lambda control based on this invention. It is a flow diagram for demonstrating the diagnosis based on this invention. It is a functional diagram for demonstrating the progress of the main operating parameters in lambda deviation. It is a functional diagram for demonstrating the progress of the main operating parameters in lambda deviation. It is a function diagram at the time of applying debounce time. It is a functional diagram of two small lambda deviations.

  FIG. 1 shows a schematic diagram of an internal combustion engine 1 for applying an adaptive lambda control method for an internal combustion engine 1 according to the present invention. The internal combustion engine 1 has a combustion chamber 2 in which a fuel / air mixture can be formed using a distribution device 3. The distribution device 3 includes a fuel distribution 32 for distributing the amount of liquid fuel or gaseous fuel, a throttle valve 33 for distributing the amount of air, and an exhaust gas recirculation valve 31 for distributing the amount of exhaust gas. ing.

  The internal combustion engine 1 further includes a lambda sensor 5 for measuring the lambda variable λ in the exhaust gas 6 of the internal combustion engine 1 and a control unit 4 for controlling and adjusting the operation of the internal combustion engine 1. The lambda variable λ is a lambda value or a value that is directly dependent on this lambda value. The control unit 4 has an adjustment device 41, an adaptation device 42, a lambda model 43, and a distribution function 45 based on the well-known hardware and software of the engine control unit.

The adjustment device 41 performs lambda control by a known method. At this time, regarding lambda control, the lambda variable λ is a control variable, the distribution variable 34 of the distribution function 45 is an operation variable, and the lambda target variable λ _S is a target variable. The lambda target variable is defined using a lambda model 43 in the control unit 4 for each operating point according to the operating conditions of the internal combustion engine 1. The adjustment device 41, the adaptation device 42, the lambda model 43, the distribution function 45 and the lambda sensor 5 are connected to each other via a data exchange system 46. With lambda control, the distribution variable 34 is quickly modified with the goal of maintaining the lambda variable λ approximately the same as the lambda target variable λ _S.

Lambda adaptation performed by the adaptation unit 42, by the lambda adaptation, consequently, for adjusting the lambda variable lambda lambda target variable lambda _S, slow correction of allocation variables 34 is performed.

  FIG. 2 shows a flow diagram of the limit function 410 of adaptive lambda control according to the present invention.

Lambda control is limited by the maximum control range . Due to the limitation of the control range , when the deviation (Δλ) of the lambda variable (λ) from the lambda target variable (λ _S ) is large, the deviation (Δλ) cannot be quickly reduced to zero. The reason for this is that a very rapid and significant change of the distribution variable 34 is associated with a very large control range , which causes a destabilization in the control system and thus leads to an unstable operation of the internal combustion engine 1. This is because there is a fear. Lambda adaptation does not have an adaptive range limit, but has an adaptive speed limit. By using the maximum adaptive speed, it is not always necessary to repeat the adjustment of the continuous lambda deviation (Δλ), and it is ensured that it is corrected by the correction of the control parameters.

In accordance with the present invention, the maximum control range and / or the maximum adaptive speed depends on the deviation (Δλ) of the lambda variable (λ) from the lambda reference value (λ _S ).

In the starting step 411 of the limiting function 410, it is checked whether the operating conditions of the internal combustion engine 1 are appropriate in order to carry out the following steps of the limiting function 410. If this is the case, in a comparison step 412, it is checked whether the accumulated lambda deviation (ΣΔλ) is greater than the first limit value S1. The cumulative lambda deviation (ΣΔλ) means the calculated total lambda deviation in the operation period up to the current time point of the internal combustion engine 1. The cumulative lambda deviation (ΣΔλ) is synonymous with the current lambda deviation that is assumed to be caused by lambda control and lambda adaptation in the operation period up to the current time point of the internal combustion engine 1 when lambda control and lambda adaptation have never been performed. If the cumulative lambda deviation (ΣΔλ) is not greater than the first limit value S1, the first decision step 413, determination of the maximum control range up to a first maximum control range h (Remax, 1), and first The maximum adaptive speed up to the maximum adaptive speed v (admax, 1) is determined. If the cumulative lambda deviation (ΣΔλ) is greater than the first limit value S1, the second decision step 414, determination of the maximum control range up to a second maximum control range h (Remax, 2), and a second The maximum adaptation speed up to the maximum adaptation speed v (admax, 2) is determined. Subsequently, the limiting function 410 is performed again via the return step 415.

FIG. 3 is a flow diagram for explaining the diagnosis 420 according to the present invention. In the starting step 421 of the diagnosis 420, it is checked whether the operating conditions of the internal combustion engine 1 are appropriate in order to carry out the following steps of the diagnosis 420. If this is the case, the diagnostic comparison step 422 checks whether the sum of the lambda control range and the lambda adaptation range (ΣH) exceeds the range limit value S2. Or the sum of the control range and application range of the lambda adaptation of the lambda control (.SIGMA.H) is synonymous with modification of allocation variables 34 allocation function 45 performed so far in the entire course of the lambda control and lambda adaptation, or Rely directly on this fix. The sum of the control range and application range of the lambda adaptation of the lambda control (.SIGMA.H) is, when exceeded range limit value S2, the error storage 423 is carried out in the storage device of the control unit 4 (not shown). The sum of the control range and application range of the lambda adaptation of the lambda control (.SIGMA.H) is, if not exceeded range limit value S2, or error correction as needed (not shown) is performed, or continue immediately In addition, a return step 424 is performed to resume the diagnosis 420. This return step 424 is also performed after the error storage 423 is performed.

  FIG. 4 shows a functional diagram for explaining the progress of main operating parameters when a lambda deviation Δλ occurs in the internal combustion engine 1.

  The function diagram 700 has a time axis as a horizontal axis, and a time t is described. The left vertical axis describes the lambda variable λ measured by the lambda sensor 5, and the right vertical axis describes the exhaust gas recirculation rate r (AGR). The exhaust gas recirculation rate r (AGR) means the percentage ratio of the exhaust gas 6 of the internal combustion engine 1 returned to the combustion chamber 2.

The course shown in the function diagram 700 represents the course of the lambda variable λ and the exhaust gas recirculation rate r (AGR) when the load and the rotational speed of the internal combustion engine 1 are constant. At the start of the course, the internal combustion engine 1 is operating normally. That is, the lambda variable λ matches the lambda target variable λ _S defined under a given operating condition, and the exhaust gas recirculation rate r (AGR) matches the basic recirculation rate r (AGR, b). ing. At the abnormal time point t _S , a failure has occurred in the fuel distribution 32 of the internal combustion engine 1, resulting in a shortage of fuel distribution. As a result, the lambda variable λ jumps up by the lambda deviation Δλ.

  In another course of the function diagram, two cases are distinguished. That is, a first course of conventional adaptive lambda control, indicated by a dotted line, and a second course of adaptive lambda control according to the present invention, shown by a solid line.

In the case of the conventional adaptive lambda control (dotted line), the exhaust gas recirculation rate r (AGR) continues to increase immediately after the lambda variable λ increases by the lambda deviation Δλ. This is evident by the sharp rise in the upper dotted line. As a result of the quick correction of the adjusting device 41, the exhaust gas recirculation rate r (AGR) increases rapidly, but this correction is limited by the first maximum control range h (remax, 1). The exhaust gas recirculation rate r (AGR) is corrected to the first correction value r (AGR, 1) by the first maximum control range h (remax, 1). In response to the exhaust gas recirculation rate r (AGR) being modified to the first modified value r (AGR, 1), the lambda variable λ is again directed toward the lambda target variable at the first intermediate time _tZ1 . Change. This is indicated by the dotted line below in FIG. Maximum control range h (Remax, 1) because that is exhausted by the first intermediate time _{t Z1,} after the first intermediate time _{t Z1} quick fix the exhaust gas recirculation rate r (AGR) is not performed more, The speed of the next correction, ie the slope of the upper dotted line (tan α1 in FIG. 4a) is determined by the first speed v (admax, 1) of lambda adaptation. In this case, α1 is the angle between the upper dotted line and the horizontal axis after the first intermediate time _tZ1 .

In the case of adaptive lambda control according to the present invention (solid line), immediately after the increase of the lambda variable λ, the exhaust gas recirculation rate r (AGR) up to the second correction value r (AGR, 2) by the lambda deviation Δλ. ) Clearly continues to rise. This is because the lambda deviation Δλ is very large and therefore the cumulative lambda deviation ΣΔλ is also larger than the first limit value, so that the control range is performed up to the second maximum control range h (remax, 2). As a result, the lambda variable λ decreases to the lambda target variable λ _S again by the second intermediate time point t _Z2 . After the second intermediate time _tZ2 , the adaptive lambda control according to the present invention (solid line) makes a more rapid correction of the exhaust gas recirculation rate r (AGR) compared to the conventional adaptive lambda control, Appearing in the larger slope of the upper dotted line (tan α2 in FIG. 4a), or this is based on the larger second maximum adaptation speed v (admax, 2). In this case, α2 is an angle between the upper solid line and the horizontal axis after the second intermediate time _tZ2 . After the second intermediate time t _Z2, adaptation speed in the case of the solid line, the second maximum adaptation speed v (Admax, 2) are the same as, it is because there remains a large lambda deviations must be further modified It is.

Elapsed over time t of the exhaust gas recirculation rate r (AGR), i.e. above the solid line and the upper dashed line, coincides directly or indirectly to the sum of the control range and application range of lambda adaptation of the lambda control (.SIGMA.H) .

Based on the large second maximum control range h (Remax, 2) and large second maximum adaptation speed v (Admax, 2), while the upward solid line a relatively short time, i.e. the range in the error storage time _{t F} It exceeds the limit value S2. The threshold exceeded is a fault setting criteria proposed in FIG. 3, the error stored time t _F, fault information is stored in the error memory of the control unit 4. In the final time t _E, modified lambda variable is continued until a lambda target variable lambda _S.

In the case of the conventional adaptive lambda control (dotted line), after the first intermediate time _tZ1 , the exhaust gas recirculation rate r (AGR) rises slowly and the lambda variable λ slowly changes to the lambda target variable λ _S. because the approach is made, failure detection, i.e., exceeded range limit value S2, carried out much later than the error stored time t _F of the method according to the present invention.

FIG. 5 shows a function diagram when the debounce time is applied. In the case illustrated by FIG. 5, the first correction mode having the first maximum adaptive speed v (admax, 1) and the first maximum control range h (remax, 1) is performed at the abnormal time point t _S. Is called. If an abnormality still exists even at the debounce time t _deb , the switch to the second correction mode is performed for the first time thereafter, the maximum control range is increased to the second maximum control range h (remax, 2), and the maximum adaptive speed is increased. The second maximum adaptation speed v (admax, 2) is increased. The other circumstances are the same as in FIG.

FIG. 6 shows a functional diagram of two small lambda deviations. At time t _S1 of the first anomaly, the first lambda deviation occurs following the correction according to the invention of the exhaust gas recirculation rate r (AGR) as described above. A second lambda deviation occurs at time t _S2 of the second abnormality. For the first time at the time t _S2 of the second abnormality, the cumulative lambda deviation ΣλΔ increases as it exceeds the first limit value S1, and the switching to the second correction mode is performed. The other circumstances are the same as in FIG.

1 internal combustion engine 2 combustion chamber 3 distribution device 31 exhaust gas recirculation valve 32 fuel distribution 33 throttle valve 34 distribution variable 4 control unit 41 adjustment device 42 adaptation device 43 lambda model 45 distribution function 46 data exchange system 410 restriction function 411 restriction function Start step 412 Limit function comparison step 413 Limit function first determination step 414 Limit function second determination step 415 Limit function return step 420 diagnosis 421 diagnosis start step 422 diagnosis comparison step 423 error save 424 diagnosis Return process 5 Lambda sensor 6 Exhaust gas 700 Function diagram h (remax, 1) First maximum control range h (remax, 2) Second maximum control range ΣH Total of control range and adaptive range ΣΔλ Cumulative lambda deviation Δλ Lambda deviation λ lambda variable λ _S lambda target variable r (AGR) re-exhaust gas Ring rate r (AGR, b) Basic exhaust gas recirculation rate r (AGR, 1) First correction value of recirculation rate r (AGR, 2) Second correction value of recirculation rate S1 First limit value S2 range limit value T time t _deb debounce time t _E final time t _F error storage time t _S abnormal time t _S1 first abnormal time t _S2 second abnormal time t _Z1 first intermediate time t _Z2 second intermediate Time point v (admax, 1) first maximum adaptation speed v (admax, 2) second maximum adaptation speed

Claims (9)

An apparatus for adaptive lambda control of an internal combustion engine (1), the internal combustion engine comprising:
-Combustion chamber (2),
A distribution device (3) for allocating at least one component of the combustion mixture in the combustion chamber (2), and a lambda sensor for measuring the lambda variable (λ) of the exhaust gas of the internal combustion engine (1) (5)
The device is
- provided for performing lambda control for correcting the allocation variable (34) of the lambda variable (lambda) lambda target variable (lambda _S) and the distribution device to be approximately the same (3), the lambda An adjustment device (41) in which the control is limited by a maximum control range , and- a lambda adaptation that further modifies the distribution variable (34) to match the lambda variable (λ) to the lambda target variable (λ _S ) An adaptation device (42) provided to implement the lambda adaptation, wherein the lambda adaptation is limited by a maximum adaptation speed ;
The control speed of the lambda control is greater than the maximum adaptive speed of the lambda adaptation;
The apparatus, characterized in that the maximum control range and / or the maximum adaptive speed can be varied according to a lambda deviation (Δλ) of the lambda variable (λ ) from the lambda target variable (λ _S ) .   Fuel for distributing the exhaust gas recirculation valve (31) and / or fuel in the combustion chamber (2) for the distribution device (3) to distribute the amount of exhaust gas in the combustion chamber (2) 2. Device according to claim 1, characterized in that it comprises a throttle valve (33) for distributing (32) and / or distributing the amount of air in the combustion chamber (2). A method for adaptive lambda control of an internal combustion engine (1), said internal combustion engine comprising:
-Combustion chamber (2),
A distribution device (3) for allocating at least one component of the combustion mixture in the combustion chamber (2), and a lambda sensor for measuring the lambda variable (λ) of the exhaust gas of the internal combustion engine (1) (5)
A method using a device having an adjustment device (41) and an adaptation device (42),
A lambda that corrects the distribution variable (34) of the distribution device (3) by using the adjustment device (41) so that the lambda variable (λ) is substantially the same as the lambda target variable (λ _S ); Control is performed, the lambda control is limited by a maximum control range, and by using the adaptation device (42), the lambda variable (λ) is further adjusted to the lambda target variable (λ _S ). Lambda adaptation is performed to modify the distribution variable (34), the lambda adaptation being limited by the maximum adaptation speed,
The control speed of the lambda control is greater than the maximum adaptive speed of the lambda adaptation ;
The method, characterized in that the maximum control range and / or the maximum adaptive speed can be varied according to a lambda deviation (Δλ) of the lambda variable (λ) from the lambda target variable (λ _S ). . The distribution of exhaust gas and / or the distribution of fuel and / or the distribution of air are performed on the basis of the distribution variable (34) of the distribution device (3) . Method. The maximum control range and / or the maximum adaptive speed depends on the accumulated lambda deviation (ΣΔλ), and the larger the maximum control range and / or the maximum adaptive speed, the larger the accumulated lambda deviation (ΣΔλ). The method according to claim 3 or 4, characterized in that When the sum (ΣH) of the control range of the lambda control and the adaptive range of the lambda adaptation exceeds a range limit value (S2), error storage (423) of the internal combustion engine (1) is performed. 6. A method according to any one of claims 3 to 5, characterized. In the first correction mode, there is a first maximum control range [h (remax, 1)] and a first maximum adaptive speed [v (admax, 1)], and in the second correction mode, the second maximum control range. A range [h (remax, 2)] and a second maximum adaptive speed [v (admax, 2)], depending on the cumulative lambda deviation (ΣΔλ) and / or the control range of the lambda control and The switching between the first and the second correction modes is performed according to the sum (ΣH) of the lambda adaptation and the adaptation range. The method according to claim 1. The first maximum control range [h (remax, 1)] and the first maximum adaptive speed [v (admax, 1)] are respectively set to the second maximum control range [h (remax, 2)] and When the second maximum adaptive speed [v (admax, 2)] is smaller and the cumulative lambda deviation (ΣΔλ) is larger than the first limit value (S1), the second correction mode is 8. A method according to claim 7, characterized in that it exists. After the first correction mode is performed, wherein the switching to the second correction mode upon elapse of a predetermined time is carried out, method according to any one of claims 7 or 8 .